• DocumentCode
    623885
  • Title

    Connectivity in two-dimensional lattice networks

  • Author

    Lei Zhang ; Lin Cai ; Jianping Pan

  • Author_Institution
    Univ. of Victoria, Victoria, BC, Canada
  • fYear
    2013
  • fDate
    14-19 April 2013
  • Firstpage
    2814
  • Lastpage
    2822
  • Abstract
    Connectivity has been extensively studied in ad hoc networks, most recently with the application of percolation theory in two-dimensional square lattices. Given a message source and the bond probability to connect neighbor vertexes on the lattice, percolation theory tries to determine the critical bond probability above which there exists an infinite connected giant component with high probability. This paper studies a related but different problem: what is the connectivity from the source to any vertex on the square lattice following certain directions? The original directed percolation problem has been studied in statistical physics for more than half a century, with only simulation results available. In this paper, by using a recursive decomposition approach, we have obtained the analytical expressions for directed connectivity. The results can be widely used in wireless and mobile ad hoc networks, including vehicular ad hoc networks.
  • Keywords
    lattice theory; mobile ad hoc networks; percolation; probability; 2D lattice network; 2D square lattice; analytical expression; critical bond probability; directed connectivity; directed percolation problem; infinite connected giant component; mobile ad hoc network; percolation theory; recursive decomposition; vehicular ad hoc network; wireless ad hoc network; Complexity theory; Lattices; Poles and towers; Probability; Silicon; Vehicular ad hoc networks; Connectivity; directed percolation; square lattice;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2013 Proceedings IEEE
  • Conference_Location
    Turin
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4673-5944-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2013.6567091
  • Filename
    6567091